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Researchers Move Closer to Completely Optical Artificial Neural Network

News   Jul 20, 2018 | Original Press Release from the Optical Society

 
Researchers Move Closer to Completely Optical Artificial Neural Network

Researchers have shown a neural network can be trained using an optical circuit (blue rectangle in the illustration). In the full network there would be several of these linked together. The laser inputs (green) encode information that is carried through the chip by optical waveguides (black). The chip performs operations crucial to the artificial neural network using tunable beam splitters, which are represented by the curved sections in the waveguides. These sections couple two adjacent waveguides together and are tuned by adjusting the settings of optical phase shifters (red and blue glowing objects), which act like 'knobs' that can be adjusted during training to perform a given task. Credit: Tyler W. Hughes, Stanford University

 
 
 

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